Triple

T8881095
Position Surface form Disambiguated ID Type / Status
Subject RSMC Wellington E211411 entity
Predicate partOf P40 FINISHED
Object World Meteorological Organization regional warning system
The World Meteorological Organization regional warning system is a global network of specialized centers that monitor and issue alerts for severe weather and related hazards to support international safety and disaster risk reduction.
E765345 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: World Meteorological Organization regional warning system | Statement: [RSMC Wellington, partOf, World Meteorological Organization regional warning system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: World Meteorological Organization regional warning system
Context triple: [RSMC Wellington, partOf, World Meteorological Organization regional warning system]
  • A. World Weather Watch
    World Weather Watch is a global program that coordinates the collection, processing, and exchange of meteorological data to support weather forecasting and climate monitoring worldwide.
  • B. National Meteorological Telecommunication Networks
    National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
  • C. WMO Information System
    The WMO Information System is the World Meteorological Organization’s global infrastructure for collecting, sharing, and distributing weather, climate, and water data among member states and users.
  • D. World Meteorological Centres
    World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
  • E. National Meteorological and Hydrological Services
    National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: World Meteorological Organization regional warning system
Triple: [RSMC Wellington, partOf, World Meteorological Organization regional warning system]
Generated description
The World Meteorological Organization regional warning system is a global network of specialized centers that monitor and issue alerts for severe weather and related hazards to support international safety and disaster risk reduction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: World Meteorological Organization regional warning system
Target entity description: The World Meteorological Organization regional warning system is a global network of specialized centers that monitor and issue alerts for severe weather and related hazards to support international safety and disaster risk reduction.
  • A. World Weather Watch
    World Weather Watch is a global program that coordinates the collection, processing, and exchange of meteorological data to support weather forecasting and climate monitoring worldwide.
  • B. National Meteorological Telecommunication Networks
    National Meteorological Telecommunication Networks are country-level systems that collect, process, and exchange meteorological data and forecasts, feeding into and operating within the World Meteorological Organization’s Global Telecommunication System.
  • C. WMO Information System
    The WMO Information System is the World Meteorological Organization’s global infrastructure for collecting, sharing, and distributing weather, climate, and water data among member states and users.
  • D. World Meteorological Centres
    World Meteorological Centres are major global hubs designated by the World Meteorological Organization to provide high-quality weather analyses, forecasts, and related data services to support international meteorological operations.
  • E. National Meteorological and Hydrological Services
    National Meteorological and Hydrological Services are national agencies responsible for monitoring, forecasting, and providing information on weather, climate, and water resources to support public safety, economic activities, and environmental management.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6168e3d881908c58cf11cf5f9a0e completed April 1, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabc1992481909e8a4216086d5111 completed April 3, 2026, noon
NEDg Description generation batch_69cfadbfa4888190931c76599631366a completed April 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfae3a88dc81908419c44bc83b188a completed April 3, 2026, 12:10 p.m.
Created at: March 30, 2026, 6:52 p.m.